Shinystan provides a graphical user interface for Markov chain Monte Carlo diagnostics and posterior sample analysis. The tool, created by Jonah Gabry, is powered by the Shiny framework and works with output from MCMC programs in any language, with extended support for Stan models via rstan and rstanarm packages.
Use Cases
- Diagnosing Markov chain Monte Carlo convergence based on interactive visualizations
- Analyzing posterior distributions through plots and tables generated from sample output
- Comparing model fits for Stan models using extended functionality mentioned in the description
Strengths
- Interface works with MCMC program output from any programming language
- Provides extended functionality specifically for Stan models fit with rstan and rstanarm
Limitations
- Description metadata is limited; actual data quality requires manual inspection after download
- Row count and file formats are unknown, which may limit suitability assessment
Provenance
- Source
- Jonah Gabry
- Collection Method
- Tool for analyzing output from Bayesian modeling programs.
- Time Range
- null
- Freshness
- Last update date is unknown; freshness unverified
- Geography
- null